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improve notebook (#10804)

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pull/10790/head
Harrison Chase 10 months ago committed by GitHub
parent d2bee34d4c
commit 5d0493f652
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1 changed files with 18 additions and 163 deletions
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181
docs/extras/modules/model_io/output_parsers/xml.ipynb
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@ -15,7 +15,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 1,
"id": "3b10fc55",
"metadata": {},
"outputs": [],
@ -27,7 +27,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 2,
"id": "909161d1",
"metadata": {},
"outputs": [
@ -35,7 +35,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
"/home/mateusz/Documents/Projects/langchain/libs/langchain/langchain/llms/anthropic.py:170: UserWarning: This Anthropic LLM is deprecated. Please use `from langchain.chat_models import ChatAnthropic` instead\n",
"/Users/harrisonchase/workplace/langchain/libs/langchain/langchain/llms/anthropic.py:171: UserWarning: This Anthropic LLM is deprecated. Please use `from langchain.chat_models import ChatAnthropic` instead\n",
" warnings.warn(\n"
]
}
@ -54,7 +54,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 3,
"id": "b03785af-69fc-40a1-a1be-c04ed6fade70",
"metadata": {},
"outputs": [
@ -105,7 +105,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 6,
"id": "87ba8d11",
"metadata": {},
"outputs": [
@ -113,93 +113,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"<filmography>\n",
" <movie>\n",
" <title>Splash</title>\n",
" <year>1984</year>\n",
" </movie>\n",
" \n",
" <movie>\n",
" <title>Big</title> \n",
" <year>1988</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>A League of Their Own</title>\n",
" <year>1992</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>Sleepless in Seattle</title>\n",
" <year>1993</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>Forrest Gump</title>\n",
" <year>1994</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>Toy Story</title>\n",
" <year>1995</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>Apollo 13</title>\n",
" <year>1995</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>Saving Private Ryan</title>\n",
" <year>1998</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>Cast Away</title>\n",
" <year>2000</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>Catch Me If You Can</title>\n",
" <year>2002</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>The Polar Express</title>\n",
" <year>2004</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>Charlie Wilson's War</title>\n",
" <year>2007</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>Toy Story 3</title>\n",
" <year>2010</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>Captain Phillips</title>\n",
" <year>2013</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>Bridge of Spies</title>\n",
" <year>2015</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>The Post</title>\n",
" <year>2017</year>\n",
" </movie>\n",
"\n",
" <movie>\n",
" <title>A Beautiful Day in the Neighborhood</title> \n",
" <year>2019</year>\n",
" </movie>\n",
"</filmography>\n"
"{'filmography': [{'movie': [{'title': 'Splash'}, {'year': '1984'}]}, {'movie': [{'title': 'Big'}, {'year': '1988'}]}, {'movie': [{'title': 'A League of Their Own'}, {'year': '1992'}]}, {'movie': [{'title': 'Sleepless in Seattle'}, {'year': '1993'}]}, {'movie': [{'title': 'Forrest Gump'}, {'year': '1994'}]}, {'movie': [{'title': 'Toy Story'}, {'year': '1995'}]}, {'movie': [{'title': 'Apollo 13'}, {'year': '1995'}]}, {'movie': [{'title': 'Saving Private Ryan'}, {'year': '1998'}]}, {'movie': [{'title': 'Cast Away'}, {'year': '2000'}]}, {'movie': [{'title': 'Catch Me If You Can'}, {'year': '2002'}]}, {'movie': [{'title': 'The Polar Express'}, {'year': '2004'}]}, {'movie': [{'title': 'Bridge of Spies'}, {'year': '2015'}]}]}\n"
]
}
],
@ -217,58 +131,12 @@
" partial_variables={\"format_instructions\": parser.get_format_instructions()},\n",
")\n",
"\n",
"_input = prompt.format_prompt(query=actor_query)\n",
"chain = prompt | model | parser\n",
"\n",
"output = model(_input.to_string())\n",
"output = chain.invoke({\"query\": actor_query})\n",
"print(output)"
]
},
{
"cell_type": "markdown",
"id": "1c4c47ee",
"metadata": {},
"source": [
"And here parsed output is shown:"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "4c864dc9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'filmography': [{'movie': [{'title': 'Splash'}, {'year': '1984'}]},\n",
" {'movie': [{'title': 'Big'}, {'year': '1988'}]},\n",
" {'movie': [{'title': 'A League of Their Own'}, {'year': '1992'}]},\n",
" {'movie': [{'title': 'Sleepless in Seattle'}, {'year': '1993'}]},\n",
" {'movie': [{'title': 'Forrest Gump'}, {'year': '1994'}]},\n",
" {'movie': [{'title': 'Toy Story'}, {'year': '1995'}]},\n",
" {'movie': [{'title': 'Apollo 13'}, {'year': '1995'}]},\n",
" {'movie': [{'title': 'Saving Private Ryan'}, {'year': '1998'}]},\n",
" {'movie': [{'title': 'Cast Away'}, {'year': '2000'}]},\n",
" {'movie': [{'title': 'Catch Me If You Can'}, {'year': '2002'}]},\n",
" {'movie': [{'title': 'The Polar Express'}, {'year': '2004'}]},\n",
" {'movie': [{'title': \"Charlie Wilson's War\"}, {'year': '2007'}]},\n",
" {'movie': [{'title': 'Toy Story 3'}, {'year': '2010'}]},\n",
" {'movie': [{'title': 'Captain Phillips'}, {'year': '2013'}]},\n",
" {'movie': [{'title': 'Bridge of Spies'}, {'year': '2015'}]},\n",
" {'movie': [{'title': 'The Post'}, {'year': '2017'}]},\n",
" {'movie': [{'title': 'A Beautiful Day in the Neighborhood'},\n",
" {'year': '2019'}]}]}"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"parser.parse(output)"
]
},
{
"cell_type": "markdown",
"id": "327f5479-77e0-4549-8393-2cd7a286d491",
@ -279,29 +147,16 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 8,
"id": "b722a235",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'movies': [{'actor': [{'name': 'Tom Hanks'},\n",
" {'film': [{'name': 'Splash'}, {'genre': 'Comedy'}]},\n",
" {'film': [{'name': 'Big'}, {'genre': 'Comedy'}]},\n",
" {'film': [{'name': 'A League of Their Own'}, {'genre': 'Drama'}]},\n",
" {'film': [{'name': 'Sleepless in Seattle'}, {'genre': 'Romance'}]},\n",
" {'film': [{'name': 'Forrest Gump'}, {'genre': 'Drama'}]},\n",
" {'film': [{'name': 'Toy Story'}, {'genre': 'Animation'}]},\n",
" {'film': [{'name': 'Apollo 13'}, {'genre': 'Drama'}]},\n",
" {'film': [{'name': 'Saving Private Ryan'}, {'genre': 'War'}]},\n",
" {'film': [{'name': 'Cast Away'}, {'genre': 'Adventure'}]},\n",
" {'film': [{'name': 'The Green Mile'}, {'genre': 'Drama'}]}]}]}"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
"name": "stdout",
"output_type": "stream",
"text": [
"{'movies': [{'actor': [{'name': 'Tom Hanks'}, {'film': [{'name': 'Splash'}, {'genre': 'Comedy'}]}, {'film': [{'name': 'Big'}, {'genre': 'Comedy'}]}, {'film': [{'name': 'A League of Their Own'}, {'genre': 'Comedy'}]}, {'film': [{'name': 'Sleepless in Seattle'}, {'genre': 'Romance'}]}, {'film': [{'name': 'Forrest Gump'}, {'genre': 'Drama'}]}, {'film': [{'name': 'Toy Story'}, {'genre': 'Animation'}]}, {'film': [{'name': 'Apollo 13'}, {'genre': 'Drama'}]}, {'film': [{'name': 'Saving Private Ryan'}, {'genre': 'War'}]}, {'film': [{'name': 'Cast Away'}, {'genre': 'Adventure'}]}, {'film': [{'name': 'The Green Mile'}, {'genre': 'Drama'}]}]}]}\n"
]
}
],
"source": [
@ -318,11 +173,11 @@
")\n",
"\n",
"\n",
"_input = prompt.format_prompt(query=actor_query)\n",
"chain = prompt | model | parser\n",
"\n",
"output = model(_input.to_string())\n",
"output = chain.invoke({\"query\": actor_query})\n",
"\n",
"parser.parse(output)"
"print(output)"
]
},
{
@ -350,7 +205,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.16"
"version": "3.10.1"
}
},
"nbformat": 4,

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